Higher education institutions are investing heavily in ERP modernization, analytics, and AI-driven capabilities. Yet even with these investments, many are running into the same issue: turning insight into coordinated, timely action.
Organizations may be underestimating the actual cost of generative AI as they move from experimentation to production, according to Gartner's "10 Best Practices for Optimizing Generative and Agentic AI Costs" report.
Institutions need to move away from a reactive habit of expanding storage and towards a more deliberate data management model based on understanding and control.
Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.